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Proportions, odds, and risk.

Christopher L Sistrom1, Cynthia W Garvan

  • 1Departments of Radiology and Biostatistics, University of Florida College of Medicine, PO Box 100374, Gainesville, FL 32610, USA. sistrc@radiology.ufl.edu

Radiology
|December 26, 2003
PubMed
Summary

Researchers use count tables to summarize medical research findings. Key statistics like difference in proportions, relative risk, and odds ratio help quantify associations between risk factors and outcomes, depending on study design.

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Area of Science:

  • Epidemiology
  • Biostatistics
  • Medical Research Methodology

Background:

  • Tables of counts are a common method for summarizing medical research and epidemiologic investigation results.
  • These tables list subjects with and without a specific outcome for different treatment or risk factor groups.
  • Quantifying associations between exposures and outcomes is crucial in medical research.

Purpose of the Study:

  • To demonstrate the use of simple statistical calculations for quantifying associations in medical research.
  • To explain the relationships between proportions, odds ratios, and risks.
  • To provide guidelines for the appropriate use and interpretation of these statistics based on study design.

Main Methods:

  • Utilizing tabulated study sample data (counts of subjects with/without outcome per group).
  • Applying three primary statistical calculations: difference in proportions, relative risk, and odds ratio.
  • Illustrating the enumeration of proportions, odds ratios, and risks and their interrelationships.

Main Results:

  • The choice of statistical calculation (difference in proportions, relative risk, odds ratio) depends on the research design.
  • These statistics are used to estimate the association between a treatment or risk factor and an outcome.
  • Guidelines are provided for interpreting these measures in the context of specific study designs.

Conclusions:

  • Understanding the appropriate application of difference in proportions, relative risk, and odds ratio is essential for accurate interpretation of medical research.
  • The study clarifies the relationships between these measures and offers guidance for their use in different epidemiologic study designs.

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